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DIMENSION LABS Docs

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Quickstart

Sign up, load one file or a sample, say what you want to know, get your first read from the agent, then run a backfill so your file gets Dimensions.

You can go from sign-up to a first answer without talking to anyone. Plans start at $299 a month with no contract on monthly plans (pricing, checked October 2026).

1. Create your workspace

Section titled “1. Create your workspace”

Sign up and give your organization a name. That name is how your workspace appears in the app.

2. Load one file, or use a sample

Section titled “2. Load one file, or use a sample”

Drop in one file of customer language: a reviews export, survey responses, a chat or ticket export. If you’d rather look around first, pick one of the sample datasets offered at sign-up.

Your file needs:

  • A format of .csv, .tsv or .jsonl. There’s no size limit: Dimension Labs splits a large file for you.
  • Five required columns: text, incoming, userId, sessionId and dimensionlabs_timestamp (a 13-digit time in milliseconds). A conversationId is recommended. See Upload a file for what each one holds, and the conversation template for an example.
  • No personal information as an id. Don’t use email addresses, phone numbers or names as userId or sessionId.

Run the file through the file checker first. It finds the format problems that cause most failed uploads, the converter fixes most of them, and your file never leaves your computer.

A file of conversations goes under Data Sources > Unstructured data, and gets Dimensions once you run a backfill (step 5). A file of business data (revenue, orders, accounts) goes under Data Sources > Structured data instead: it’s queryable within about a minute and is never enriched. See Choose your path if you’re not sure which you have.

3. Say what you want to know

Section titled “3. Say what you want to know”

Write the question in your own words, for example “Which stores get the most one-star reviews, and why?” or “What are customers asking our chatbot that it can’t answer?”. This becomes the agent’s first task and the goal of your project.

next.dimensionlabs.io
What do you want to know? Which stores get the most one-star reviews, and why?
Drop one file, or pick a sample dataset
Start
Illustration: the first question. The real screen may look different; screenshots are coming.

4. Read your first answer

Section titled “4. Read your first answer”

You land in a chat with the agent already at work. It lays out a short plan, inspects what your file contains, runs the queries, and writes back with a headline, the numbers behind it, quotes from the underlying records, and what to look at next.

This first answer reads the raw text and the columns in your file, because your file has no Dimensions yet. The agent says so in its answer. When it doesn’t have enough data to answer well, it says that too instead of guessing. Your first chat walks through an example answer and an example refusal.

next.dimensionlabs.ioProduct footage
What your first answer looks like. Recorded in the product.

5. Run a backfill to get Dimensions

Section titled “5. Run a backfill to get Dimensions”

An uploaded file is not enriched on its own. To give it Dimensions:

  1. Open the Backfill tab.
  2. Start a backfill for your new source. The standard Dimensions (System Prompts) are available in every workspace, so you can backfill them before you design any prompts of your own.
  3. Wait for it to finish. A backfill typically shows up within the hour, depending on how much data is being enriched.
  4. Ask your question again. The agent now answers from the Dimensions.
next.dimensionlabs.io
support_reasons prompt
support_reasons4 Dimensions · Support chats
New backfill
New backfill Start
Illustration: starting a backfill. The real screen may look different; screenshots are coming.

See Backfill history and When enrichment runs.

What happens next

Section titled “What happens next”